🎉 You are looking at Kite 4.3, which is using the intended dataset and the GPT-2 architecture for easier integration!

Kite is a small, trained, 10 million parameter language model.

It was trained on a tokenized version of qikp/small-data-2.5, which is a mixture of various datasets, using 1 epoch, 32 batch size, 1.5e-4 learning rate, and the pika 4 tokenizer.

Also, evaluation on a tokenized and truncated byunggill/gpt-2-output was done during training.

Due to its size, the model is not suitable for production workloads.